Software Engineer, Platform Team

SpaceX

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Starbase, TX
Posted: 113 days ago
Freshness: Confirmed live yesterday
Nearby: 49 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $176k

$92k most similar roles pay here $225k

This listing doesn't post a salary. Most similar roles pay $151,000–$201,600.

Based on 240 similar postings.

Employer

About SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.

SpaceX currently has 680 open roles on FindRole.

Listed pay typically runs $130,000–$165,000 across 442 roles with salary data.

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At a glance

TL;DR · Software Engineer, Platform Team

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Software Engineer (Platform Team) joins the Platform Team to build foundational tooling and security infrastructure that enables internal teams to harness AI effectively. This role involves designing, building, and operating secure, scalable AI platforms and proxy systems while managing the full development lifecycle from design to deployment. The engineer will onboard new frontier models, expand compute capacity, optimize proxy efficiency for logging and control, and develop risk-mitigation tools like intelligent code review and PR assistants. Key technical requirements include experience with Docker containers, multi-provider integrations, MLOps, and infrastructure-as-code. Candidates should be proficient in Python and familiar with Go, Java, or TypeScript. The work focuses on creating secure gateways to connect AI to daily workflows, transforming engineering expertise into automated systems while managing complex problems related to large-scale AI usage and developer productivity tools.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

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Skills

Python Go Java TypeScript Docker Kubernetes MLOps infrastructure-as-code Proxy Systems AI Gateways Observability

What you'll do

Design, build, and operate secure, scalable AI platforms and proxy systems for company-wide use.
Manage the full software development lifecycle including design, testing, deployment, and continuous improvement of internal tools.
Onboard new frontier models and expand compute resources across multiple cloud and model providers.
Optimize proxy systems for logging, control, and security to ensure reliable AI infrastructure.
Develop risk-mitigation tools such as intelligent code review assistants and PR automation.
Build shared prompts, skills, and infrastructure to accelerate engineering workflows and data analysis.
Create automated solutions that convert engineering expertise into reliable data stores and deployed applications.

What we're looking for

Bachelor's degree in computer science, computer engineering, or another engineering discipline.
At least 2 years of professional experience building production software if a degree is not held.
Experience developing production software systems including platform, backend, or full stack.
Proficiency in Python and experience with other languages like Go, Java, or TypeScript.
Experience with Docker containers, security-focused architecture, and multi-provider integrations.
Familiarity with MLOps, model onboarding, compute orchestration, and infrastructure for large-scale AI usage.
Knowledge of Kubernetes, container orchestration, observability, and infrastructure-as-code tools.
Must be a U.S. citizen, national, lawful permanent resident, or eligible for required export control authorizations.